Abstract

The influence of the basic experimental unit size on the plot size estimation determined by the method of maximum curvature of the coefficient of variation model is unknown in sunn hemp. This study aimed to verify the influence of the basic experimental unit (BEU) size in the estimate of the optimum plot size obtained by the method of maximum curvature of the coefficient of variation model for the evaluation of fresh matter of sunn hemp (Crotalaria juncea L.). Fresh matter of sunn hemp at the flowering was evaluated in uniformity trials in two sowing dates. In each sowing date, 4,608 BEU of 0.5 × 0.5 m (0.25 m2) were evaluated and 64 BEU plans were formed with sizes from 0.25 to 64 m2. In each evaluation period for each BEU plan, the first order spatial autocorrelation coefficient, variance, standard deviation, mean, coefficient of variation of the trial and the plot size were determined with the fresh matter data. For each BEU plan, the optimum plot size was determined by the method of maximum curvature of the coefficient of variation model. The estimate of optimum plot size depends on the basic experimental unit size. Determining the plot size to assess the fresh matter in basic experimental units as small as possible is recommended in order to prevent overestimation of the plot size and to contemplate all existing variability. Key words: Crotalaria juncea L., experimental design, basic experimental unit.

Highlights

  • This study aimed to verify the influence of the basic experimental unit (BEU) size in the estimate of the optimum plot size obtained by the method of maximum curvature of the coefficient of variation model for the evaluation of fresh matter of sunn hemp (C. juncea L.)

  • In the two sowing date evaluation of fresh matter of sunn hemp, there was a linear increase in standard deviation (s) and mean (m) with an increase of BEU sizes (X, in BEU) (Tables 1, 2 and Figure 1)

  • The standard deviation (s) values increased in a lower proportion than the mean (m) and the values of the coefficient of variation of the trial (CV=100s/m, in %) decreased with a power model pattern

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Summary

Introduction

The crop rapid development enables the use of sunn hemp in cropping systems with rotation and crop succession It is the legume with greatest dry matter production in comparison with gray velvet bean (Mucuna nivea), jack bean (Canavalia ensiformis), velvet bean (Mucuna aterrina), lab-lab (Dolichos lablab), showy crotalaria (Crotalaria spectabilis), and dwarf pigeon pea (Cajanus cajan) (Teodoro et al., 2011); in a study carried out by Andrade Neto et al

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